Develop, Implement and Assess Effectiveness of Early Warning Score (EWS) for Moneragala District General Hospital
Trial Snapshot
- Phase
- Not Applicable
- Status
- Completed
- Sponsor
- Enrollment
- 18,000
- Locations
- 1
- Primary Endpoint
- Proportion of in-hospital cardiac arrests
Study Overview
Brief Summary
Rationale: Early detection and timely interventions are important determinants of clinical outcome in people with acute illness. Adverse outcomes including unplanned transfer to intensive care (ICU), cardiac arrest and death are usually preceded by acute physiological changes manifesting as alterations in vital signs. Usage of early warning scores (EWS) based on bedside vital sign observations may help early detection, improve outcome of patients and reduce healthcare cost.
EWS which are effective in predicting deteriorating patients developed in high income countries have been shown to lose sensitivity and specificity when applied to a low income setting. It is imperative to explore the usefulness of EWSs in Sri Lanka. If the results are positive, widespread adaptation of these scores can significantly contribute to improved patient outcome, better utilization of ICU services and cost effective healthcare provision.
Objectives: To describe the demographic characteristics of cardiac arrest patients and the availability of physiological variables for calculation various EWSs in DGH, Moneragala To validate an early warning score suitable for patients at DGH, Moneragala To examine the effectiveness of the selected EWS at improving pre-defined patient outcomes
Proposed methodology:
Study I: All clinical variables and patient characteristics of past two years collected retrospectively from BHTs. Vital signs and laboratory measurements 24 and 48 hours before cardio respiratory emergency and at admission to hospital will be extracted. The availability of variables required for the calculation of various EWSs will be noted.
Study II: All consecutive inpatient admissions for three months to all units except intensive care unit at DGH, Moneragala will be included to the study, prospectively. Data will be collected from bed head tickets using pre-defined data sheets by nominated medical/ nursing officers daily. Demographic details and physiological data will be recorded on admission to ward. Physiological data for seven EWS will be collected twice daily by these medical/nursing officers.
Study III: Training will be given for the staff to identify patients getting worse using the newly validated EWS. The outcome of this will be measured with information obtained from Study II.
Ethical clearance obtained from the Ethics review Committee of the Faculty of Medicine, University of Colombo (EC-15-034).
Detailed Description
Introduction: Early detection and timely interventions are important determinants of clinical outcome in people with acute illness. Adverse outcomes including unplanned transfer to intensive care (ICU), cardiac arrest and death are usually preceded by acute physiological changes manifesting as alterations in vital signs. Usage of early warning scores (EWS) based on bedside vital sign observations may help early detection, improve outcome of patients and reduce healthcare cost.
Effectiveness of EWS in predicting deterioration of seriously ill patients has been demonstrated in high income countries (HICs). However, these scores developed in HICs have been shown to lose sensitivity and specificity when applied to a low income setting. It is imperative to explore the usefulness of EWSs in Sri Lanka. If the results are positive, widespread adaptation of these scores can significantly contribute to improved patient outcome, better utilization of ICU services and cost effective healthcare provision.
The study will take place in district general hospital (DGH) Moneragala, in Sri Lanka, a lower middle income country (LMIC). The hospital has nearly 450 beds and over 800 staff members serving over 50000 patients per year and approximately 500 cardiac arrests per year. It has four medical wards, two surgical wards and 5 other wards. A wedge shaped interventional study was designed to investigate whether a "setting tested" early warning system protocol can be implemented in a rural district general hospital of a LMIC using a local TTT model to reduce cardiac arrests and admissions to ICU.
Objectives
- To describe the characteristics, including EWS, of patients resuscitated at DGH, Moneragala.
- To validate a suitable EWSs at DGH, Moneragala.
- To examine the effectiveness of the validated EWS as part of a training and implementation bundle to reduce the incidence of cardiac arrests, ICU admissions and mortality.
Study Design
- Study Type
- Interventional
- Allocation
- Non Randomized
- Intervention Model
- Parallel
- Primary Purpose
- Prevention
- Masking
- None
Eligibility Criteria
- Ages
- 18 Years to — (Adult, Older Adult)
- Sex
- All
- Accepts Healthy Volunteers
- No
Inclusion Criteria
- •Patients who underwent CPR.
- •Attendance of cardiac arrest team at this emergency. (When a cardiac arrest occurs in this hospital a cardiac arrest team attends)
- •Age more than 18 years.
Exclusion Criteria
- •Patients who were under Do Not Resuscitate (DNR) instructions.
- •Patients admitted to ICU.
Arms & Interventions
Introduce EWS and Training on EWS
The group of patients who admitted to a ward where the staff has trained on EWS and EWS has been introduced.
Intervention: Training (Behavioral)
Introduce EWS and Training on EWS
The group of patients who admitted to a ward where the staff has trained on EWS and EWS has been introduced.
Intervention: Introduce EWS (Behavioral)
EWS not introduced
The group of patients who admitted to a ward where the staff has no special training on EWS and EWS has not been introduced.
Outcomes
Primary Outcomes
Proportion of in-hospital cardiac arrests
Time Frame: Twelve months
Reduction of proportion of in-hospital cardiac arrests among admitted patients
Secondary Outcomes
- Proportion of in-hospital deaths following cardiac arrests(Twelve months)
- Proportion of ICU admissions following cardiac arrests(Twelve months)
Investigators
Pubudu De Silva
Project coordinator
Ministry of Health, Sri Lanka
